© 2014

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

Analytical and Soft Computing Approaches


Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 266)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Marcin Witczak
    Pages 1-16
  3. Robust Fault Diagnosis

    1. Front Matter
      Pages 17-17
    2. Marcin Witczak
      Pages 19-56
  4. Integrated Fault Diagnosis and Control

  5. Back Matter
    Pages 227-229

About this book



This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models.

This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science,as well as mechanical and chemical engineering.


Fault Diagnosis Fault-Tolerant Control Strategies Fuzzy Systems Non-Linear Systems Soft Computing Takagi–Sugeno Models

Authors and affiliations

  1. 1.Institute of Control and Computation EngineeringUniversity of Zielona GóraZielona GóraPoland

Bibliographic information

  • Book Title Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems
  • Book Subtitle Analytical and Soft Computing Approaches
  • Authors Marcin Witczak
  • Series Title Lecture Notes in Electrical Engineering
  • Series Abbreviated Title Lect. Notes Electrical Eng.
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-03013-5
  • Softcover ISBN 978-3-319-38042-1
  • eBook ISBN 978-3-319-03014-2
  • Series ISSN 1876-1100
  • Series E-ISSN 1876-1119
  • Edition Number 1
  • Number of Pages XVI, 229
  • Number of Illustrations 117 b/w illustrations, 0 illustrations in colour
  • Topics Control and Systems Theory
    Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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